<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator><link href="https://williamratcliff.com/feed.xml" rel="self" type="application/atom+xml" /><link href="https://williamratcliff.com/" rel="alternate" type="text/html" /><updated>2026-03-30T03:31:34+00:00</updated><id>https://williamratcliff.com/feed.xml</id><title type="html">William Ratcliff</title><subtitle>Physicist at NIST | Fellow of American Physical Society | AI &amp; Neutron Scattering</subtitle><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><entry><title type="html">Heavy Water Tastes Sweet</title><link href="https://williamratcliff.com/blog/2021/04/13/heavy-water-tastes-sweet/" rel="alternate" type="text/html" title="Heavy Water Tastes Sweet" /><published>2021-04-13T00:00:00+00:00</published><updated>2021-04-13T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2021/04/13/heavy-water-tastes-sweet</id><content type="html" xml:base="https://williamratcliff.com/blog/2021/04/13/heavy-water-tastes-sweet/"><![CDATA[<p>Apparently you can taste the difference between light and heavy water! So can rats!</p>

<p>See the <a href="https://doi.org/10.1038/s42003-021-01964-y">Nature article</a> for more details.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="research" /><summary type="html"><![CDATA[Apparently you can taste the difference between light and heavy water! So can rats!]]></summary></entry><entry><title type="html">Today I learned a new word: Ultracrepidarianism</title><link href="https://williamratcliff.com/blog/2020/11/06/ultracrepidarianism/" rel="alternate" type="text/html" title="Today I learned a new word: Ultracrepidarianism" /><published>2020-11-06T00:00:00+00:00</published><updated>2020-11-06T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2020/11/06/ultracrepidarianism</id><content type="html" xml:base="https://williamratcliff.com/blog/2020/11/06/ultracrepidarianism/"><![CDATA[<p>I recently learned a new word: <strong>ultracrepidarianism</strong> - “the giving of opinions and advice on matters outside of one’s knowledge.”</p>

<p>This connects to research by Dunning and Kruger, which explains how people often become overconfident once they begin learning something new. This is a particularly risky tendency in cross-disciplinary work.</p>

<p>This serves as a personal reminder to approach unfamiliar topics with appropriate caution. As Alexander Pope wrote in 1711:</p>

<blockquote>
  <p>“A little learning is a dang’rous thing;
Drink deep, or taste not the Pierian spring”</p>
</blockquote>

<p>The passage emphasizes that shallow knowledge can be misleading, while deeper study brings wisdom and humility.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="data-science" /><summary type="html"><![CDATA[I recently learned a new word: ultracrepidarianism - “the giving of opinions and advice on matters outside of one’s knowledge.”]]></summary></entry><entry><title type="html">Machine Learning at the APS March Meeting</title><link href="https://williamratcliff.com/blog/2018/03/12/machine-learning-at-aps-march-meeting/" rel="alternate" type="text/html" title="Machine Learning at the APS March Meeting" /><published>2018-03-12T00:00:00+00:00</published><updated>2018-03-12T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2018/03/12/machine-learning-at-aps-march-meeting</id><content type="html" xml:base="https://williamratcliff.com/blog/2018/03/12/machine-learning-at-aps-march-meeting/"><![CDATA[<p>I attended the American Physical Society’s March Meeting in Los Angeles and observed significant growth in machine learning sessions. One session drew such large crowds that a 30 minute line formed to get into the room due to fire code restrictions.</p>

<h2 id="key-observations">Key Observations</h2>

<p>The talks fell into several distinct categories:</p>

<ol>
  <li>
    <p><strong>Automation tasks</strong> - Using AI to analyze microscopy images and detect grain structures, automating work traditionally assigned to junior researchers.</p>
  </li>
  <li>
    <p><strong>Sampling optimization</strong> - Exploring whether researchers can extract equivalent information from fewer samples, reducing beamtime and material consumption. This represents a modern take on DOE (Design of Experiments).</p>
  </li>
  <li>
    <p><strong>Theory-focused approaches</strong> - Training neural networks on computational results (like DFT calculations) to create faster approximations, though with reduced accuracy suitable for screening purposes.</p>
  </li>
  <li>
    <p><strong>Inverse problems</strong> - Comparing experimental data against theoretical models to classify which theory best fits observations.</p>
  </li>
  <li>
    <p><strong>Materials prediction</strong> - Though some work showed clear overfitting, other efforts showed maybe some promise.</p>
  </li>
</ol>

<h2 id="critical-insight">Critical Insight</h2>

<p>A crucial takeaway emerged: physics researchers typically lack big data. As one speaker noted, there isn’t sufficient data volume for algorithms to independently learn representations—instead, researchers must construct representations using established physics models.</p>

<p>Machine learning in physics remains in early stages, with questions about whether such tools genuinely advance understanding.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="machine-learning" /><category term="physics" /><summary type="html"><![CDATA[I attended the American Physical Society’s March Meeting in Los Angeles and observed significant growth in machine learning sessions. One session drew such large crowds that a 30 minute line formed to get into the room due to fire code restrictions.]]></summary></entry><entry><title type="html">Machine Learning</title><link href="https://williamratcliff.com/blog/2017/06/18/machine-learning/" rel="alternate" type="text/html" title="Machine Learning" /><published>2017-06-18T00:00:00+00:00</published><updated>2017-06-18T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2017/06/18/machine-learning</id><content type="html" xml:base="https://williamratcliff.com/blog/2017/06/18/machine-learning/"><![CDATA[<p>I have become interested in the intersection of machine learning with science. Two of my students will pursue projects in this area during the summer. One project focuses on classification tasks, while the other involves reinforcement learning methodologies.</p>

<p>I’m excited about the direction of this work!</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="machine-learning" /><summary type="html"><![CDATA[I have become interested in the intersection of machine learning with science. Two of my students will pursue projects in this area during the summer. One project focuses on classification tasks, while the other involves reinforcement learning methodologies.]]></summary></entry><entry><title type="html">The Role of Government</title><link href="https://williamratcliff.com/blog/2014/11/29/the-role-of-government/" rel="alternate" type="text/html" title="The Role of Government" /><published>2014-11-29T00:00:00+00:00</published><updated>2014-11-29T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2014/11/29/the-role-of-government</id><content type="html" xml:base="https://williamratcliff.com/blog/2014/11/29/the-role-of-government/"><![CDATA[<p>This post examines government’s role in spurring innovation by discussing three books: Mariana Mazzucato’s <em>The Entrepreneurial State</em>, Peter Thiel’s <em>Zero to One</em>, and Steven Johnson’s <em>Where Good Ideas Come From</em>.</p>

<h2 id="mazzucatos-argument">Mazzucato’s Argument</h2>

<p>Contrary to viewing government as an impediment, Mazzucato demonstrates how U.S. government investment has driven innovation across sectors. While she sometimes overstates connections between government funding and commercial success, her point about SBIR grants supporting companies developing government-needed technology with later commercial applications is well-taken.</p>

<h2 id="venture-capital-vs-patient-capital">Venture Capital vs. Patient Capital</h2>

<p>There’s a fundamental tension: venture capitalists operate on ~10-year horizons, making long-term, uncertain investments (like cleantech) problematic. Government can provide “patient capital” pursuing specific goals like clean energy development without immediate profit requirements—something private markets struggle to sustain.</p>

<h2 id="innovation-pace">Innovation Pace</h2>

<p>While Thiel attributes slowing pharmaceutical innovation to regulation, I’d argue we’ve exhausted “low hanging fruit.” Johnson’s concept of the “adjacent possible” suggests we’re awaiting conditions for the next innovation wave. Complex problems like personalized cancer treatments require foundational work before breakthroughs emerge.</p>

<h2 id="governments-broader-role">Government’s Broader Role</h2>

<p>Beyond direct research funding, government can facilitate university-to-industry knowledge transfer, encourage corporate collaboration on difficult problems, and support technological incubators in cities.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="research" /><category term="books" /><summary type="html"><![CDATA[This post examines government’s role in spurring innovation by discussing three books: Mariana Mazzucato’s The Entrepreneurial State, Peter Thiel’s Zero to One, and Steven Johnson’s Where Good Ideas Come From.]]></summary></entry><entry><title type="html">Where Good Ideas Come From</title><link href="https://williamratcliff.com/blog/2014/11/29/where-good-ideas-come-from/" rel="alternate" type="text/html" title="Where Good Ideas Come From" /><published>2014-11-29T00:00:00+00:00</published><updated>2014-11-29T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2014/11/29/where-good-ideas-come-from</id><content type="html" xml:base="https://williamratcliff.com/blog/2014/11/29/where-good-ideas-come-from/"><![CDATA[<p>I recently read Steven Johnson’s book <em>Where Good Ideas Come From</em>. While some biological analogies in the work are overstated, Johnson’s key recommendations for fostering creativity are worth noting:</p>

<ul>
  <li>Take walks</li>
  <li>Prioritize sleep (with a note that sleep segmentation might be beneficial)</li>
  <li>Embrace mistakes</li>
  <li>Pursue hobbies</li>
  <li>Engage with unfamiliar people</li>
  <li>Synthesize different concepts</li>
  <li>Maintain detailed notes</li>
  <li>Establish yourself in or near urban environments</li>
</ul>

<p>The book provides a useful framework for understanding how innovative thinking develops through environmental and behavioral factors.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="books" /><summary type="html"><![CDATA[I recently read Steven Johnson’s book Where Good Ideas Come From. While some biological analogies in the work are overstated, Johnson’s key recommendations for fostering creativity are worth noting:]]></summary></entry><entry><title type="html">Instabilities</title><link href="https://williamratcliff.com/blog/2014/11/03/instabilities/" rel="alternate" type="text/html" title="Instabilities" /><published>2014-11-03T00:00:00+00:00</published><updated>2014-11-03T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2014/11/03/instabilities</id><content type="html" xml:base="https://williamratcliff.com/blog/2014/11/03/instabilities/"><![CDATA[<p>I’ve been reflecting on insights from my graduate research on frustrated magnetism. In frustrated magnets—materials with triangular atomic arrangements and antiferromagnetic interactions—the system cannot simultaneously satisfy all interactions, yet often orders anyway in practice.</p>

<p>Three mechanisms can enable order:</p>
<ul>
  <li>Thermal or quantum fluctuations</li>
  <li>Structural phase transitions favoring certain interactions</li>
  <li>Interesting phases emerging near frustrated magnets</li>
</ul>

<p>This leads to a general strategy for discovering switchable phenomena: <strong>Find a phase which is subject to an instability through some type of perturbation.</strong> If you can move the system towards the instability using one control parameter, you’re half way there.</p>

<p>The approach involves using multiple control parameters (pressure, electric field, etc.) to manipulate a system across phase boundaries, potentially enabling novel functionality.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="research" /><category term="physics" /><summary type="html"><![CDATA[I’ve been reflecting on insights from my graduate research on frustrated magnetism. In frustrated magnets—materials with triangular atomic arrangements and antiferromagnetic interactions—the system cannot simultaneously satisfy all interactions, yet often orders anyway in practice.]]></summary></entry><entry><title type="html">Edge of Tomorrow</title><link href="https://williamratcliff.com/blog/2014/10/14/edge-of-tomorrow/" rel="alternate" type="text/html" title="Edge of Tomorrow" /><published>2014-10-14T00:00:00+00:00</published><updated>2014-10-14T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2014/10/14/edge-of-tomorrow</id><content type="html" xml:base="https://williamratcliff.com/blog/2014/10/14/edge-of-tomorrow/"><![CDATA[<p>I recently watched “Edge of Tomorrow” and found it an interesting exploration of heroism and courage, drawing comparisons to “Groundhog Day.”</p>

<p>The protagonist William Cage undergoes a transformation from a self-centered coward into a true hero. Initially unprepared for combat, Cage gains the ability to relive the same day after being exposed to alien blood. Through repeated deaths and training with the legendary warrior Rita Vrataski, he develops from a trickster character into someone willing to sacrifice everything.</p>

<p>The critical turning point occurs when Cage stops fighting one time and escapes to London, discovering something worth fighting for beyond self-preservation.</p>

<p>What I particularly appreciate is the moment when Cage becomes mortal again—losing his time-loop ability—yet chooses to proceed with a likely suicidal mission to save humanity. He gathers a team and they decide that they will try to destroy the alien Omega, even though it’s likely to be a one way mission.</p>

<p>I think the film’s ending would have been more powerful if Cage had died as an unrecognized hero rather than receiving Hollywood’s traditional feel-good resurrection and romantic resolution.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="movies" /><summary type="html"><![CDATA[I recently watched “Edge of Tomorrow” and found it an interesting exploration of heroism and courage, drawing comparisons to “Groundhog Day.”]]></summary></entry><entry><title type="html">Some Thoughts on Home Ownership</title><link href="https://williamratcliff.com/blog/2014/07/28/some-thoughts-on-home-ownership/" rel="alternate" type="text/html" title="Some Thoughts on Home Ownership" /><published>2014-07-28T00:00:00+00:00</published><updated>2014-07-28T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2014/07/28/some-thoughts-on-home-ownership</id><content type="html" xml:base="https://williamratcliff.com/blog/2014/07/28/some-thoughts-on-home-ownership/"><![CDATA[<p>Is buying or renting a $300,000 townhouse in Maryland financially comparable? Let me break down the numbers.</p>

<h2 id="monthly-ownership-costs">Monthly Ownership Costs</h2>

<ul>
  <li>Maintenance: $4,000/year (1.5% of home value)</li>
  <li>Property taxes: $3,300/year</li>
  <li>Insurance and utilities: $1,150/year</li>
  <li>Mortgage: $14,580/year (with 20% down at 4.5%)</li>
</ul>

<p>This comes to approximately $1,920/month before tax deductions.</p>

<p>After accounting for tax deductions on interest and property taxes, the monthly cost reduces to roughly $1,580. When factoring in closing costs and selling expenses over a 7-year holding period, the total monthly cost reaches approximately $2,000—comparable to rental prices in the same area.</p>

<h2 id="challenging-common-assumptions">Challenging Common Assumptions</h2>

<p>Home appreciation shouldn’t exceed inflation long-term, and equity accumulation must account for opportunity costs of the initial down payment. Risks of ownership include:</p>

<ul>
  <li>Foreclosure liability in recourse states</li>
  <li>Market downturns</li>
  <li>Rising property taxes as municipalities address budget pressures</li>
</ul>

<h2 id="conclusion">Conclusion</h2>

<p>The question of owning vs renting depends on your assumptions regarding investment returns, inflation, and personal risk tolerance rather than being an obvious financial advantage.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="finance" /><summary type="html"><![CDATA[Is buying or renting a $300,000 townhouse in Maryland financially comparable? Let me break down the numbers.]]></summary></entry><entry><title type="html">Some Light Martial Arts Fiction</title><link href="https://williamratcliff.com/blog/2014/07/07/some-light-martial-arts-fiction/" rel="alternate" type="text/html" title="Some Light Martial Arts Fiction" /><published>2014-07-07T00:00:00+00:00</published><updated>2014-07-07T00:00:00+00:00</updated><id>https://williamratcliff.com/blog/2014/07/07/some-light-martial-arts-fiction</id><content type="html" xml:base="https://williamratcliff.com/blog/2014/07/07/some-light-martial-arts-fiction/"><![CDATA[<p>I recently read the CUHK Series novel “Fox Valant of the Snowy Mountain” by Jin Yang.</p>

<h2 id="language--style">Language &amp; Style</h2>

<p>The translator used archaic or formal English, requiring dictionary lookups on the Kindle. I grew to appreciate this distinctive tone.</p>

<h2 id="narrative-structure">Narrative Structure</h2>

<p>The book employs a multi-perspective storytelling technique similar to recent films. Characters introduced early as antagonists are revealed to be heroic when viewed through other characters’ perspectives—a psychologically interesting approach that creates initial bias.</p>

<h2 id="central-theme">Central Theme</h2>

<p>The story explores pride’s dual nature—sometimes motivating, sometimes destructive. I found myself reflecting on personal experiences with pride. Have you ever had the feeling of meeting the sky above the sky?</p>

<h2 id="skill-development-question">Skill Development Question</h2>

<p>A character gains martial prowess from reading a scroll fragment. I question this plausibility—while instructional books and videos help, they cannot fully capture the feelings behind a number of techniques without a teacher’s guidance.</p>

<h2 id="conclusion">Conclusion</h2>

<p>It was a good read, though I regretted the open ending.</p>]]></content><author><name>William Ratcliff II</name><email>william.ratcliff@nist.gov</email></author><category term="books" /><summary type="html"><![CDATA[I recently read the CUHK Series novel “Fox Valant of the Snowy Mountain” by Jin Yang.]]></summary></entry></feed>