use num_dual::DualNum;
use super::gga_x_pbe::{pbe_enhancement, KAPPA, MU_X2S2};
use crate::families::mgga::{gtv4, mgga_exchange, Mgga, MggaEnergy, MggaVars};
use crate::families::XcEval;
use crate::func::{Family, FunctionalId, FunctionalInfo, Kind};
use crate::reduced::consts::K_FACTOR_C;
const A: [f64; 12] = [
0.3987756, 0.2548219, 0.3923994, -2.103655, -6.302147, 10.97615, 30.97273, -23.18489,
-56.73480, 21.60364, 34.21814, -9.049762,
];
const D: [f64; 6] = [
0.6012244,
0.004748822,
-0.008635108,
-0.000009308062,
0.00004482811,
0.0,
];
const M06_ALPHA: f64 = 0.00186726;
fn mgga_w<N: DualNum<f64> + Copy>(t: N) -> N {
(N::from(K_FACTOR_C) - t) / (N::from(K_FACTOR_C) + t)
}
fn mgga_series_w<N: DualNum<f64> + Copy>(a: &[f64; 12], t: N) -> N {
let w = mgga_w(t);
let mut p = N::from(a[11]);
for &c in a[..11].iter().rev() {
p = p * w + N::from(c);
}
p
}
fn m06_x_enhancement<N: DualNum<f64> + Copy>(w: N, t: N) -> N {
let z = N::from(2.0) * (t - N::from(K_FACTOR_C));
pbe_enhancement(w, KAPPA, MU_X2S2) * mgga_series_w(&A, t) + gtv4(M06_ALPHA, &D, w, z)
}
pub(crate) struct MggaXM06L {
info: FunctionalInfo,
zeta_threshold: f64,
}
impl MggaXM06L {
fn new() -> Self {
Self {
info: FunctionalInfo {
id: Some(FunctionalId::MggaXM06L),
name: "mgga_x_m06_l",
family: Family::Mgga,
kind: Kind::Exchange,
needs_sigma: true,
needs_lapl: false,
needs_tau: true,
dens_threshold: 1e-15,
hybrid: None,
},
zeta_threshold: f64::EPSILON, }
}
pub(crate) fn boxed() -> Box<dyn XcEval> {
Box::new(Mgga(Self::new()))
}
}
impl MggaEnergy for MggaXM06L {
fn info(&self) -> &FunctionalInfo {
&self.info
}
fn f<N: DualNum<f64> + Copy>(&self, v: MggaVars<N>) -> N {
mgga_exchange(
&v,
self.info.dens_threshold,
self.zeta_threshold,
m06_x_enhancement,
)
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::reduced::consts::X2S;
use crate::{Functional, FunctionalId, Spin, XcInput};
fn m06l(spin: Spin) -> Functional {
Functional::new(FunctionalId::MggaXM06L, spin).unwrap()
}
#[test]
fn pbe_part_is_shared_pbe_x() {
let kappa = 0.8040_f64;
let mu = 0.2195149727645171_f64;
for &w in &[0.0_f64, 1e-8, 0.01, 0.5, 3.0, 100.0, 1e4] {
let s2 = X2S * X2S * w;
let want = 1.0 + kappa * mu * s2 / (kappa + mu * s2);
let got = pbe_enhancement(w, KAPPA, MU_X2S2);
assert!(
(got - want).abs() <= 1e-13 * want.abs().max(1.0),
"pbe_enhancement({w}) = {got} vs PBE-x pbe_f0 {want}"
);
}
}
#[test]
fn uniform_gas_recovers_lda_x() {
assert!((A[0] + D[0] - 1.0).abs() < 1e-12, "a0 + d0 must be 1");
let m = m06l(Spin::Unpolarized);
let lda = Functional::new(FunctionalId::LdaX, Spin::Unpolarized).unwrap();
for &n in &[0.1_f64, 1.0, 7.3, 100.0] {
let tau_unif = 2.0 * K_FACTOR_C * (n / 2.0).powf(5.0 / 3.0);
let mm = m
.eval(1, &XcInput::gga(&[n], &[0.0]).with_tau(&[tau_unif]))
.unwrap();
let ll = lda.eval(1, &XcInput::lda(&[n])).unwrap();
assert!(
(mm.exc[0] - ll.exc[0]).abs() <= 1e-10 * ll.exc[0].abs(),
"exc n={n}: {} vs {}",
mm.exc[0],
ll.exc[0]
);
}
}
#[test]
fn unpol_derivs_match_finite_difference() {
let f = m06l(Spin::Unpolarized);
let edens = |n: f64, s: f64, tau: f64| {
n * f
.eval(1, &XcInput::gga(&[n], &[s]).with_tau(&[tau]))
.unwrap()
.exc[0]
};
for &(n, s, tau) in &[
(0.5, 0.1, 0.3),
(2.0, 0.7, 1.5),
(0.1, 0.02, 0.05),
(10.0, 5.0, 20.0),
(1.0, 0.4, 0.06), ] {
let out = f
.eval(1, &XcInput::gga(&[n], &[s]).with_tau(&[tau]))
.unwrap();
let (hn, hs, ht) = (1e-6 * n, 1e-6 * s, 1e-6 * tau);
let fdn = (edens(n + hn, s, tau) - edens(n - hn, s, tau)) / (2.0 * hn);
let fds = (edens(n, s + hs, tau) - edens(n, s - hs, tau)) / (2.0 * hs);
let fdt = (edens(n, s, tau + ht) - edens(n, s, tau - ht)) / (2.0 * ht);
assert!(
(out.vrho[0] - fdn).abs() <= 1e-6 * out.vrho[0].abs().max(1.0),
"vrho n={n} s={s} t={tau}: {} vs {fdn}",
out.vrho[0]
);
assert!(
(out.vsigma[0] - fds).abs() <= 1e-6 * out.vsigma[0].abs().max(1.0),
"vsigma n={n} s={s} t={tau}: {} vs {fds}",
out.vsigma[0]
);
assert!(
(out.vtau[0] - fdt).abs() <= 1e-6 * out.vtau[0].abs().max(1.0),
"vtau n={n} s={s} t={tau}: {} vs {fdt}",
out.vtau[0]
);
}
}
#[test]
fn pol_derivs_match_finite_difference() {
let f = m06l(Spin::Polarized);
let (na, nb, saa, sab, sbb, ta, tb) = (0.6, 0.3, 0.1, 0.05, 0.08, 0.4, 0.25);
let r = [na, nb];
let s = [saa, sab, sbb];
let t = [ta, tb];
let edens = |r: [f64; 2], s: [f64; 3], t: [f64; 2]| {
(r[0] + r[1]) * f.eval(1, &XcInput::gga(&r, &s).with_tau(&t)).unwrap().exc[0]
};
let out = f.eval(1, &XcInput::gga(&r, &s).with_tau(&t)).unwrap();
for (k, h) in [(0usize, 1e-6 * na), (1, 1e-6 * nb)] {
let (mut rp, mut rm) = (r, r);
rp[k] += h;
rm[k] -= h;
let fd = (edens(rp, s, t) - edens(rm, s, t)) / (2.0 * h);
assert!(
(out.vrho[k] - fd).abs() <= 1e-6 * out.vrho[k].abs().max(1.0),
"vrho[{k}]: {} vs {fd}",
out.vrho[k]
);
}
for (k, h) in [(0usize, 1e-6 * saa), (2usize, 1e-6 * sbb)] {
let (mut sp, mut sm) = (s, s);
sp[k] += h;
sm[k] -= h;
let fd = (edens(r, sp, t) - edens(r, sm, t)) / (2.0 * h);
assert!(
(out.vsigma[k] - fd).abs() <= 1e-6 * out.vsigma[k].abs().max(1.0),
"vsigma[{k}]: {} vs {fd}",
out.vsigma[k]
);
}
assert_eq!(out.vsigma[1], 0.0, "exchange vsigma_ab must be 0");
for (k, h) in [(0usize, 1e-6 * ta), (1, 1e-6 * tb)] {
let (mut tp, mut tm) = (t, t);
tp[k] += h;
tm[k] -= h;
let fd = (edens(r, s, tp) - edens(r, s, tm)) / (2.0 * h);
assert!(
(out.vtau[k] - fd).abs() <= 1e-6 * out.vtau[k].abs().max(1.0),
"vtau[{k}]: {} vs {fd}",
out.vtau[k]
);
}
}
#[test]
fn unpol_pol_symmetry_at_zero_polarization() {
let up = m06l(Spin::Unpolarized);
let po = m06l(Spin::Polarized);
let (n, s, tau) = (0.8, 0.3, 0.6);
let ou = up
.eval(1, &XcInput::gga(&[n], &[s]).with_tau(&[tau]))
.unwrap();
let op = po
.eval(
1,
&XcInput::gga(&[n / 2.0, n / 2.0], &[s / 4.0, s / 4.0, s / 4.0])
.with_tau(&[tau / 2.0, tau / 2.0]),
)
.unwrap();
assert!((ou.exc[0] - op.exc[0]).abs() <= 1e-12 * ou.exc[0].abs());
assert!((ou.vrho[0] - op.vrho[0]).abs() <= 1e-11 * ou.vrho[0].abs());
assert!((ou.vrho[0] - op.vrho[1]).abs() <= 1e-11 * ou.vrho[0].abs());
assert!((ou.vtau[0] - op.vtau[0]).abs() <= 1e-11 * ou.vtau[0].abs().max(1.0));
assert!((op.vtau[0] - op.vtau[1]).abs() <= 1e-11 * op.vtau[0].abs().max(1.0));
}
#[test]
fn edge_outputs_finite() {
let f = m06l(Spin::Polarized);
let rho = [
1.0, 0.0, 0.0, 1.0, 1e-12, 1e-13, 1.0, 1.0, 100.0, 50.0, ];
let sigma = [
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-20, 0.0, 1e-22, 1e6, 1e6, 1e6, 1.0, 0.5, 0.8, ];
let tau = [
0.5, 0.0, 0.0, 0.5, 1e-15, 1e-16, 0.1, 0.1, 50.0, 30.0, ];
let out = f
.eval(5, &XcInput::gga(&rho, &sigma).with_tau(&tau))
.unwrap();
for v in out
.exc
.iter()
.chain(&out.vrho)
.chain(&out.vsigma)
.chain(&out.vtau)
{
assert!(v.is_finite(), "non-finite output: {v}");
}
}
}