Results 181 to 190 of about 87,102,086 (248)

Adsorption Hysteresis Under Control: Tuning Host-Guest Interactions via a Genetic Algorithm. [PDF]

ACS Nano
Prelesnik JL, Formalik F, Corapi S, Pablo-García S, Aspuru-Guzik A, Snurr RQ, Siepmann JI.   +6 more
europepmc   +1 more source

Thermo-elastodynamics of nonlinearly viscous solids. [PDF]

Calc Var Partial Differ Equ
Almi S, Badal R, Friedrich M, Schwarzacher S.   +3 more
europepmc   +1 more source

Deep neural network model for fractional-order cancer chemotherapy dynamics. [PDF]

Sci Rep
Shafqat R, Imran, Al-Quran A, Djaouti AM.   +3 more
europepmc   +1 more source

Parabolic PDEs with Dynamic Data under a Bounded Slope Condition. [PDF]

Arch Ration Mech Anal
Bögelein V, Duzaar F, Treu G.
europepmc   +1 more source

Fast electromagnetic field simulation using a current-density- based physics-informed neural network. [PDF]

Sci Rep
Gao Z, Sun CA, Ma Z, Liu Z, Zhao L, Wang Q.   +5 more
europepmc   +1 more source

Nonlinear periodic orbit solutions and their bifurcation structure at the origin of soliton hopping in coupled microresonators. [PDF]

Commun Phys
Deshmukh S, Tusnin A, Tikan A, Kippenberg TJ, Schneider TM.   +4 more
europepmc   +1 more source

Inference of weak-form partial differential equations describing migration and proliferation mechanisms in wound healing experiments on cancer cells. [PDF]

PLoS Comput Biol
Srivastava S, Kinnunen PC, Wang Z, Ho KKY, Humphries BA, Chen S, Linderman JJ, Luker GD, Luker KE, Garikipati K.   +9 more
europepmc   +1 more source

Analytical insights and physical behavior of solitons in the fractional stochastic Allen-Cahn equations using a novel method. [PDF]

Sci Rep
Nazari-Golshan A.
europepmc   +1 more source

Convergence Analysis of Controlled Particle Systems Arising in Deep Learning: From Finite to Infinite Sample Size. [PDF]

Appl Math Optim
Liao H, Mészáros AR, Mou C, Zhou C.
europepmc   +1 more source

AI-driven predictive modelling of residual stress of HVOF thermal sprayed carbon-based composite coatings using physics-informed neural networks. [PDF]

Sci Rep
Tyagi A, Dadhich A, Sirohi S, Gupta AK.
europepmc   +1 more source