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| 1 | +use crate::math::Real; |
| 2 | +use crate::traits::HybridKernel; |
| 3 | +use crate::types::HybridEnergyDiff; |
| 4 | + |
| 5 | +/// DREIDING Hydrogen Bond potential (12-10). |
| 6 | +/// |
| 7 | +/// # Physics |
| 8 | +/// |
| 9 | +/// Models the explicit hydrogen bonding interaction (typically D-H...A) using a |
| 10 | +/// specific 12-10 Radial potential modulated by a $\cos^N\theta$ Angular term. |
| 11 | +/// Standard DREIDING uses $N=4$. |
| 12 | +/// |
| 13 | +/// - **Formula**: $$ E = D_{hb} \left[ 5 \left(\frac{R_{hb}}{r}\right)^{12} - 6 \left(\frac{R_{hb}}{r}\right)^{10} \right] \cos^N \theta $$ |
| 14 | +/// - **Derivative Factor (Radial)**: $$ D_{rad} = - \frac{1}{r} \frac{\partial E}{\partial r} = \frac{60 D_{hb}}{r^2} \left[ \left(\frac{R_{hb}}{r}\right)^{12} - \left(\frac{R_{hb}}{r}\right)^{10} \right] \cos^N \theta $$ |
| 15 | +/// - **Derivative Factor (Angular)**: $$ D_{ang} = \frac{\partial E}{\partial (\cos\theta)} = N \cdot E_{rad} \cos^{N-1} \theta $$ |
| 16 | +/// |
| 17 | +/// # Parameters |
| 18 | +/// |
| 19 | +/// - `d_hb`: The energy well depth $D_{hb}$. |
| 20 | +/// - `r_hb_sq`: The squared equilibrium distance $R_{hb}^2$. |
| 21 | +/// - `N`: The cosine power exponent (const generic). |
| 22 | +/// |
| 23 | +/// # Inputs |
| 24 | +/// |
| 25 | +/// - `r_sq`: Squared distance $r^2$ between Donor (D) and Acceptor (A). |
| 26 | +/// - `cos_theta`: Cosine of the angle $\theta_{DHA}$ (at Hydrogen). |
| 27 | +/// |
| 28 | +/// # Implementation Notes |
| 29 | +/// |
| 30 | +/// - **Cutoff**: If $\cos\theta \le 0$, energy and forces represent 0. |
| 31 | +/// - **Optimization**: Uses $s = (R_{hb}/r)^2$ recurrence to compute $r^{-10}$ and $r^{-12}$ efficiently. |
| 32 | +/// - **Generics**: Uses `const N: usize` to unroll power calculations at compile time. |
| 33 | +#[derive(Clone, Copy, Debug, Default)] |
| 34 | +pub struct HydrogenBond<const N: usize>; |
| 35 | + |
| 36 | +impl<T: Real, const N: usize> HybridKernel<T> for HydrogenBond<N> { |
| 37 | + type Params = (T, T); |
| 38 | + |
| 39 | + /// Computes only the potential energy. |
| 40 | + /// |
| 41 | + /// # Formula |
| 42 | + /// |
| 43 | + /// $$ E = D_{hb} (5s^6 - 6s^5) \cos^N \theta, \quad \text{where } s = (R_{hb}/r)^2 $$ |
| 44 | + #[inline(always)] |
| 45 | + fn energy(r_sq: T, cos_theta: T, (d_hb, r_hb_sq): Self::Params) -> T { |
| 46 | + let effective_cos = cos_theta.max(T::from(0.0)); |
| 47 | + |
| 48 | + let cos_n = pow_n_helper(effective_cos, N); |
| 49 | + |
| 50 | + let s = r_hb_sq * r_sq.recip(); |
| 51 | + let s2 = s * s; |
| 52 | + let s4 = s2 * s2; |
| 53 | + let s5 = s4 * s; |
| 54 | + let s6 = s4 * s2; |
| 55 | + |
| 56 | + let term12 = T::from(5.0) * s6; |
| 57 | + let term10 = T::from(6.0) * s5; |
| 58 | + |
| 59 | + (d_hb * (term12 - term10)) * cos_n |
| 60 | + } |
| 61 | + |
| 62 | + /// Computes only the derivative factors. |
| 63 | + /// |
| 64 | + /// # Formula |
| 65 | + /// |
| 66 | + /// $$ D_{rad} = \frac{60 D_{hb}}{r^2} (s^6 - s^5) \cos^N \theta, \quad \text{where } s = (R_{hb}/r)^2 $$ |
| 67 | + /// $$ D_{ang} = N E_{rad} \cos^{N-1} \theta $$ |
| 68 | + /// |
| 69 | + /// - `force_factor_rad` ($D_{rad}$): Used to compute the central force along the D-A axis: |
| 70 | + /// $ \vec{F}_{rad} = -D\_{rad} \cdot \vec{r}\_{DA} $ |
| 71 | + /// - `force_factor_ang` ($D_{ang}$): Used to compute torque-like forces on the D-H-A angle |
| 72 | + /// via the Wilson B-matrix gradient chain rule: |
| 73 | + /// $ \vec{F}_i = -D\_{ang} \cdot \nabla_i (\cos\theta) $ |
| 74 | + #[inline(always)] |
| 75 | + fn diff(r_sq: T, cos_theta: T, (d_hb, r_hb_sq): Self::Params) -> (T, T) { |
| 76 | + let effective_cos = cos_theta.max(T::from(0.0)); |
| 77 | + |
| 78 | + let inv_r2 = r_sq.recip(); |
| 79 | + let s = r_hb_sq * inv_r2; |
| 80 | + let s2 = s * s; |
| 81 | + let s4 = s2 * s2; |
| 82 | + let s5 = s4 * s; |
| 83 | + let s6 = s4 * s2; |
| 84 | + |
| 85 | + let term12 = T::from(5.0) * s6; |
| 86 | + let term10 = T::from(6.0) * s5; |
| 87 | + let e_rad_pure = d_hb * (term12 - term10); |
| 88 | + |
| 89 | + let cos_n_minus_1 = if N == 0 { |
| 90 | + T::from(0.0) |
| 91 | + } else if N == 1 { |
| 92 | + T::from(1.0) |
| 93 | + } else { |
| 94 | + pow_n_helper(effective_cos, N - 1) |
| 95 | + }; |
| 96 | + |
| 97 | + let cos_n = if N == 0 { |
| 98 | + T::from(1.0) |
| 99 | + } else { |
| 100 | + cos_n_minus_1 * effective_cos |
| 101 | + }; |
| 102 | + |
| 103 | + let diff_rad_pure = T::from(60.0) * d_hb * inv_r2 * (s6 - s5); |
| 104 | + let force_factor_rad = diff_rad_pure * cos_n; |
| 105 | + |
| 106 | + let force_factor_ang = T::from(N as f32) * e_rad_pure * cos_n_minus_1; |
| 107 | + |
| 108 | + (force_factor_rad, force_factor_ang) |
| 109 | + } |
| 110 | + |
| 111 | + /// Computes both energy and derivative factors efficiently. |
| 112 | + /// |
| 113 | + /// This method reuses intermediate calculations to minimize operations. |
| 114 | + #[inline(always)] |
| 115 | + fn compute(r_sq: T, cos_theta: T, (d_hb, r_hb_sq): Self::Params) -> HybridEnergyDiff<T> { |
| 116 | + let effective_cos = cos_theta.max(T::from(0.0)); |
| 117 | + |
| 118 | + let inv_r2 = r_sq.recip(); |
| 119 | + let s = r_hb_sq * inv_r2; |
| 120 | + let s2 = s * s; |
| 121 | + let s4 = s2 * s2; |
| 122 | + let s5 = s4 * s; |
| 123 | + let s6 = s4 * s2; |
| 124 | + |
| 125 | + let term12 = T::from(5.0) * s6; |
| 126 | + let term10 = T::from(6.0) * s5; |
| 127 | + let e_rad_pure = d_hb * (term12 - term10); |
| 128 | + |
| 129 | + let cos_n_minus_1 = if N == 0 { |
| 130 | + T::from(0.0) |
| 131 | + } else if N == 1 { |
| 132 | + T::from(1.0) |
| 133 | + } else { |
| 134 | + pow_n_helper(effective_cos, N - 1) |
| 135 | + }; |
| 136 | + |
| 137 | + let cos_n = if N == 0 { |
| 138 | + T::from(1.0) |
| 139 | + } else { |
| 140 | + cos_n_minus_1 * effective_cos |
| 141 | + }; |
| 142 | + |
| 143 | + let energy = e_rad_pure * cos_n; |
| 144 | + |
| 145 | + let diff_rad_pure = T::from(60.0) * d_hb * inv_r2 * (s6 - s5); |
| 146 | + let force_factor_rad = diff_rad_pure * cos_n; |
| 147 | + |
| 148 | + let force_factor_ang = T::from(N as f32) * e_rad_pure * cos_n_minus_1; |
| 149 | + |
| 150 | + HybridEnergyDiff { |
| 151 | + energy, |
| 152 | + force_factor_rad, |
| 153 | + force_factor_ang, |
| 154 | + } |
| 155 | + } |
| 156 | +} |
| 157 | + |
| 158 | +/// Helper to compute x^n using explicit unrolling for small common powers, |
| 159 | +/// and fast exponentiation for larger n. |
| 160 | +#[inline(always)] |
| 161 | +fn pow_n_helper<T: Real>(base: T, n: usize) -> T { |
| 162 | + match n { |
| 163 | + 0 => T::from(1.0), |
| 164 | + 1 => base, |
| 165 | + 2 => base * base, |
| 166 | + 3 => base * base * base, |
| 167 | + 4 => { |
| 168 | + let x2 = base * base; |
| 169 | + x2 * x2 |
| 170 | + } |
| 171 | + 5 => { |
| 172 | + let x2 = base * base; |
| 173 | + let x4 = x2 * x2; |
| 174 | + x4 * base |
| 175 | + } |
| 176 | + 6 => { |
| 177 | + let x2 = base * base; |
| 178 | + let x4 = x2 * x2; |
| 179 | + x4 * x2 |
| 180 | + } |
| 181 | + _ => { |
| 182 | + let mut acc = T::from(1.0); |
| 183 | + let mut b = base; |
| 184 | + let mut e = n; |
| 185 | + while e > 0 { |
| 186 | + if e & 1 == 1 { |
| 187 | + acc = acc * b; |
| 188 | + } |
| 189 | + b = b * b; |
| 190 | + e >>= 1; |
| 191 | + } |
| 192 | + acc |
| 193 | + } |
| 194 | + } |
| 195 | +} |
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