https://vasp.at/wiki/index.php?action=history&feed=atom&title=ML_SRPOT_N0 2026-04-11T12:23:36Z Revision history for this page on the wiki MediaWiki 1.40.1 https://vasp.at/wiki/index.php?title=ML_SRPOT_N0&diff=35548&oldid=prev 2026-03-24T15:03:24Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:03, 24 March 2026</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4">Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Description: Specifies the exponent of a soft repulsive exponential potential used as an auxiliary potential in thermodynamic integration ({{TAG|VCAIMAGES}}).</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Description: Specifies the exponent of a soft repulsive exponential potential used as an auxiliary potential in thermodynamic integration ({{TAG|VCAIMAGES}}).</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>----</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>----</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">We advise to use an </del>exponent <del style="font-weight: bold; text-decoration: none;">that resembles a Gaussian function </del>({<del style="font-weight: bold; text-decoration: none;">{TAG|ML_SRPOT_N0}</del>}<del style="font-weight: bold; text-decoration: none;">=2)</del>.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">This parameters sets the </ins>exponent <ins style="font-weight: bold; text-decoration: none;">&lt;math&gt;n&lt;/math&gt; of the following repulsive exponential potential</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">&lt;math&gt; </ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">V</ins>(<ins style="font-weight: bold; text-decoration: none;">r) = b e^</ins>{<ins style="font-weight: bold; text-decoration: none;">-(r/\sigma)^n</ins>}.  </div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">&lt;/math&gt;</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related tags and articles ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Related tags and articles ==</div></td></tr> </table>

Karsai https://vasp.at/wiki/index.php?title=ML_SRPOT_N0&diff=34787&oldid=prev 2026-03-17T07:23:12Z

<p>Created page with &quot;{{DISPLAYTITLE:ML_SRPOT_N0}} {{TAGDEF|ML_SRPOT_N0|[integer]|10}} Description: Specifies the exponent of a soft repulsive exponential potential used as an auxiliary potential in thermodynamic integration ({{TAG|VCAIMAGES}}). ---- We advise to use an exponent that resembles a Gaussian function ({{TAG|ML_SRPOT_N0}}=2). == Related tags and articles == {{TAG|ML_LMLFF}}, {{TAG|ML_LCOUPLE}}, {{TAG|ML_ICOUPLE}}, {{TAG|ML_RCOUPLE}}, {{TAG|ML_NATOM_COUPLED}}, {{TAG|ML_LEMPPOT}}...&quot;</p> <p><b>New page</b></p><div>{{DISPLAYTITLE:ML_SRPOT_N0}}<br /> {{TAGDEF|ML_SRPOT_N0|[integer]|10}}<br /> <br /> Description: Specifies the exponent of a soft repulsive exponential potential used as an auxiliary potential in thermodynamic integration ({{TAG|VCAIMAGES}}).<br /> ----<br /> We advise to use an exponent that resembles a Gaussian function ({{TAG|ML_SRPOT_N0}}=2).<br /> <br /> == Related tags and articles ==<br /> {{TAG|ML_LMLFF}}, {{TAG|ML_LCOUPLE}}, {{TAG|ML_ICOUPLE}}, {{TAG|ML_RCOUPLE}}, {{TAG|ML_NATOM_COUPLED}}, <br /> {{TAG|ML_LEMPPOT}}, {{TAG|ML_EMPPOT_RCUT}}, {{TAG|ML_SRPOT_B0}}, {{TAG|ML_SRPOT_S0}}, <br /> {{TAG|ML_MOPOT_NM}}, {{TAG|ML_MOPOT_DM}}, {{TAG|ML_MOPOT_RM}}, <br /> {{TAG|ML_MOPOT_RKM}}, {{TAG|ML_MOPOT_IJM}}<br /> <br /> {{sc|ML_LCOUPLE|Examples|Examples that use this tag}}<br /> ----<br /> <br /> [[Category:INCAR tag]][[Category:Machine-learned force fields]]</div>

Karsai