Physics
Networks
66%
Organic Semiconductor
66%
Atoms
66%
Vector Current
66%
Simulation
55%
Silicon
52%
Nanoscale
41%
Perovskites
33%
Thermodynamics
33%
Intelligence
33%
Ratios
33%
Correlation
33%
Field Effect Transistor
33%
Fabrication
33%
Room Temperature
33%
Magnetoresistance
33%
Nanowire
33%
Dielectrics
31%
Electrodes
24%
Speed
22%
Sites
22%
Electric Potential
19%
Machine Learning
16%
Covariance
16%
Neural Network
16%
Monte Carlo Method
16%
Transferring
14%
Frequencies
14%
Stability
13%
Independent Variables
13%
Magnetic Field
13%
Utilization
11%
Model
11%
Kinetics
11%
Monte Carlo
11%
Space Charge
11%
Electric Fields
11%
Learning
8%
Computers
8%
Boron
8%
Artificial Neural Network
8%
Technology
8%
Standard
8%
Light
8%
Nanomaterial
8%
Neurology
8%
Data Transmission
8%
Room Temperature
8%
Impact
8%
Gaps
6%
Chemistry
Doping Material
100%
Perovskites
66%
Halide
66%
Reaction Temperature
57%
Iodine
50%
Solvent
33%
Photoluminescence Spectrum
33%
Molecule
33%
Supramolecular Assembly
33%
Noise
33%
Atom
33%
Bromine Atom
24%
Physical Property
22%
Voltage
22%
Illumination
18%
Phase Composition
18%
Disorder
16%
Equilibrium
16%
Bound State
16%
Monomer
16%
Polymerization
16%
Probe
16%
Photoluminescence Spectroscopy
16%
Substance Spectroscopy
16%
Photoexcitation
16%
Supramolecular Polymer
16%
Aggregation
16%
Red
16%
Base
16%
Fluorescence Spectrum
16%
Energetics
16%
Dodecane
16%
Fluorescence Peak
16%
Chromophore
16%
Band Gap
16%
Number
11%
Chemistry
11%
Monte Carlo Method
11%
Electrostatic Potential
11%
Chemical Kinetics Characteristics
11%
Procedure
11%
Device
11%
Engineering Process
11%
Thermodynamics
9%
Phase Diagrams
9%
Electronic Property
8%
Purity
7%
Organic Cation
5%
Nucleation
5%
Density
5%
Engineering
Current Vector
66%
Dopants
44%
Nonlinearity
33%
Fabrication
33%
Range Variable
33%
Logic Input
33%
Field-Effect Transistor
33%
Switching Speed
33%
Simulation
33%
Gradient Descent
33%
Boolean Logic
33%
Gate Electrode
33%
Applied Voltage
33%
Density
25%
Characteristics
25%
Physical System
22%
Material System
22%
Deep Learning Method
22%
Loss Function
22%
Computer Simulation
16%
Principal Components
16%
Current Ratio
16%
Component Analysis
16%
Eigenvalue
16%
Models
16%
Space Charge
16%
Eigenvector
16%
Logic Gate
16%
Network Device
16%
Nonlinear Behavior
16%
High Current Density
16%
Applications
16%
Input Combination
16%
Dielectrics
16%
Transistor
16%
Dielectric Layer
16%
Active Channel
16%
Deep Neural Network
16%
Covariance Matrix
16%
Network Model
11%
Digital Computer
11%
Learning System
11%
Isolation Method
11%
CMOS Integrated Circuits
11%
Neural Network Approach
11%
Processing Unit
11%
Homodyne Detection
11%
Photonics
11%
Sinusoidal Waveform
11%
Gradient Information
11%
