The following is a list of pull requests relevant to LAMMPS in the Colvars repository since 2024-08-06: - 752 New tool poisson_integrator_conv https://github.com/Colvars/colvars/pull/752 (@jhenin) - 733 Custom grids for all biases https://github.com/Colvars/colvars/pull/733 (@giacomofiorin, @jhenin) - 776 Avoid error in acos and asin with fast-math https://github.com/Colvars/colvars/pull/776 (@jhenin) - 773 fix: fix the clang build test failure of OPES https://github.com/Colvars/colvars/pull/773 (@HanatoK) - 768 fix: clamp the input values of asin and acos in case of fast math on aarch64 https://github.com/Colvars/colvars/pull/768 (@HanatoK) - 761 Add debug code for the Jacobi failure https://github.com/Colvars/colvars/pull/761 (@HanatoK) - 759 min_image fix; Saves long runs from crashes; https://github.com/Colvars/colvars/pull/759 (@PolyachenkoYA) - 757 Fix MSVC OpenMP issue https://github.com/Colvars/colvars/pull/757 (@HanatoK) - 755 Fix indentation of 'Init CVC' message in standard output https://github.com/Colvars/colvars/pull/755 (@jhenin) - 750 Optimize and simplify the calculation of dihedral gradients https://github.com/Colvars/colvars/pull/750 (@HanatoK) - 749 Add references to new Colvars paper https://github.com/Colvars/colvars/pull/749 (@jhenin, @giacomofiorin) - 740 Report the specific C++ standard at init time, stop warning about C++97/03 https://github.com/Colvars/colvars/pull/740 (@giacomofiorin) - 731 Improve detection of hard/mathematical boundaries https://github.com/Colvars/colvars/pull/731 (@giacomofiorin) - 729 Optimize the fit gradients https://github.com/Colvars/colvars/pull/729 (@HanatoK, @jhenin) - 728 Fix undefined behavior when getting the current working directory from std::filesystem https://github.com/Colvars/colvars/pull/728 (@giacomofiorin) - 727 Add patchversion scripting command https://github.com/Colvars/colvars/pull/727 (@giacomofiorin) - 724 Fix gradients and metric functions of distanceDir https://github.com/Colvars/colvars/pull/724 (@giacomofiorin) - 715 Add missing rotation in orientation component https://github.com/Colvars/colvars/pull/715 (@giacomofiorin) - 713 fix: try to solve #87 for non-scala components https://github.com/Colvars/colvars/pull/713 (@HanatoK) - 709 Implementation of OPES in Colvars https://github.com/Colvars/colvars/pull/709 (@HanatoK, @giacomofiorin, @jhenin) - 706 BUGFIX for Segmentation fault in colvarbias_meta::calc_energy() with useGrids off https://github.com/Colvars/colvars/pull/706 (@alphataubio) - 570 enable use of CVs defined by PyTorch neural network models https://github.com/Colvars/colvars/pull/570 (@zwpku, @giacomofiorin, @HanatoK, @jhenin) Authors: @alphataubio, @EzryStIago, @giacomofiorin, @HanatoK, @jhenin, @PolyachenkoYA, @zwpku
130 lines
3.3 KiB
C++
130 lines
3.3 KiB
C++
// -*- c++ -*-
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// This file is part of the Collective Variables module (Colvars).
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// The original version of Colvars and its updates are located at:
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// https://github.com/Colvars/colvars
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// Please update all Colvars source files before making any changes.
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// If you wish to distribute your changes, please submit them to the
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// Colvars repository at GitHub.
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#include <algorithm>
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#include "colvarmodule.h"
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#include "colvarvalue.h"
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#include "colvar.h"
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#include "colvarcomp.h"
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colvar::alch_lambda::alch_lambda()
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{
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set_function_type("alchLambda");
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provide(f_cvc_explicit_gradient, false);
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provide(f_cvc_gradient, false); // Cannot apply forces on this CVC
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provide(f_cvc_collect_atom_ids, false);
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provide(f_cvc_inv_gradient); // Projected force is TI derivative
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provide(f_cvc_Jacobian); // Zero
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x.type(colvarvalue::type_scalar);
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// Query initial value from back-end; will be overwritten if restarting from a state file
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cvm::proxy->get_alch_lambda(&x.real_value);
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}
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int colvar::alch_lambda::init_alchemy(int factor)
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{
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// We need calculation every time step
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// default in Tinker-HP and NAMD2, must be enforced in NAMD3
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// Also checks back-end settings, ie. that alchemy is enabled
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// (in NAMD3: alchType TI, computeEnergies at the right frequency)
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// Forbid MTS until fully implemented
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if (factor != 1) {
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return cvm::error("Error: timeStepFactor > 1 is not yet supported for alchemical variables.");
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}
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cvm::proxy->request_alch_energy_freq(factor);
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return COLVARS_OK;
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}
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void colvar::alch_lambda::calc_value()
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{
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// By default, follow external parameter
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// This might get overwritten by driving extended dynamics
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// (in apply_force() below)
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cvm::proxy->get_alch_lambda(&x.real_value);
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cvm::proxy->get_dE_dlambda(&ft.real_value);
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ft.real_value *= -1.0; // Convert energy derivative to force
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// Include any force due to bias on Flambda
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ft.real_value += cvm::proxy->indirect_lambda_biasing_force;
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cvm::proxy->indirect_lambda_biasing_force = 0.0;
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}
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void colvar::alch_lambda::calc_force_invgrads()
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{
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// All the work is done in calc_value()
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}
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void colvar::alch_lambda::calc_Jacobian_derivative()
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{
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jd = 0.0;
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}
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void colvar::alch_lambda::apply_force(colvarvalue const & /* force */)
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{
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// Forces, if any, are applied in colvar::update_extended_Lagrangian()
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}
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colvar::alch_Flambda::alch_Flambda()
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{
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set_function_type("alch_Flambda");
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disable(f_cvc_explicit_gradient);
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disable(f_cvc_gradient);
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x.type(colvarvalue::type_scalar);
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}
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void colvar::alch_Flambda::calc_value()
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{
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// Special workflow:
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// at the beginning of the timestep we get a force instead of calculating the value
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// Query initial value from back-end
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cvm::proxy->get_dE_dlambda(&x.real_value);
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x.real_value *= -1.0; // Energy derivative to force
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}
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void colvar::alch_Flambda::calc_gradients()
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{
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}
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void colvar::alch_Flambda::apply_force(colvarvalue const &force)
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{
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// Convert force on Flambda to force on dE/dlambda
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cvm::real f = -1.0 * force.real_value;
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// Send scalar force to back-end, which will distribute it onto atoms
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cvm::proxy->apply_force_dE_dlambda(&f);
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// Propagate force on Flambda to lambda internally
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cvm::real d2E_dlambda2;
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cvm::proxy->get_d2E_dlambda2(&d2E_dlambda2);
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// This accumulates a force, it needs to be zeroed when taken into account by lambda
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cvm::proxy->indirect_lambda_biasing_force += d2E_dlambda2 * f;
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}
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