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Kinetics and Thermodynamics of Efficient Chiral Symmetry Breaking in Nearly Racemic Mixtures of Conglomerate Crystals

Crystal growth & design, 2011-05, Vol.11 (5), p.1957-1965

Skrdla, Peter J

2011

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Practical Estimation of Amorphous Solubility Enhancement Using Thermoanalytical Data: Determination of the Amorphous/Crystalline Solubility Ratio for Pure Indomethacin and Felodipine

Journal of pharmaceutical sciences, 2016-09, Vol.105 (9), p.2625-2630

2016

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Estimating the maximal solubility advantage of drug salts

International journal of pharmaceutics, 2021-02, Vol.595, p.120228, Article 120228

Skrdla, Peter J.

2021

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Can we trust kinetic methods of thermal analysis?

Analyst (London), 2020-02, Vol.145 (3), p.745-749

Skrdla, Peter J

2020

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Modeling Sigmoidal Transients Using Dispersive Kinetic Models to Predict Nanoparticle Size Distributions

Crystal growth & design, 2021-03, Vol.21 (3), p.1843-1853

Skrdla, Peter J

2021

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Modelling sub-micron particle slip flow in liquid chromatography

Talanta (Oxford), 2020-02, Vol.208, p.120400-120400, Article 120400

Skrdla, Peter J.

2020

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Comment on “Fitting and Interpreting Transition-Metal Nanocluster Formation and Other Sigmoidal-Appearing Kinetic Data: A More Thorough Testing of Dispersive Kinetic vs Chemical-Mechanism-Based Equations and Treatments for 4-Step Type Kinetic Data”

Chemistry of materials, 2010-04, Vol.22 (8), p.2685-2686

Skrdla, Peter J

2010

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Drug Aggregation of Sparingly-Soluble Ionizable Drugs: Molecular Dynamics Simulations of Papaverine and Prostaglandin F2α

Molecular pharmaceutics, 2023-10, Vol.20 (10), p.5135-5147

2023

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Use of Dispersive Kinetic Models for Nucleation and Denucleation to Predict Steady-State Nanoparticle Size Distributions and the Role of Ostwald Ripening

Journal of physical chemistry. C, 2012-01, Vol.116 (1), p.214-225

Skrdla, Peter J

2012

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Roles of Nucleation, Denucleation, Coarsening, and Aggregation Kinetics in Nanoparticle Preparations and Neurological Disease

Langmuir, 2012-03, Vol.28 (10), p.4842-4857

Skrdla, Peter J

2012

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Complexation Mechanisms of Aqueous Amylose: Molecular Dynamics Study Using 3‑Pentadecylphenol

Molecular pharmaceutics, 2024-07, Vol.21 (7), p.3540-3552

2024

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On the Stability of Nano-formulations Prepared by Direct Synthesis: Simulated Ostwald Ripening of a Typical Nanocrystal Distribution Post-nucleation

AAPS PharmSciTech, 2019-01, Vol.20 (1), p.34-34, Article 34

2019

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Crystallizations, Solid-State Phase Transformations and Dissolution Behavior Explained by Dispersive Kinetic Models Based on a Maxwell−Boltzmann Distribution of Activation Energies: Theory, Applications, and Practical Limitations

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2009-08, Vol.113 (33), p.9329-9336

Skrdla, Peter J

2009

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Predicting the solubility enhancement of amorphous drugs and related phenomena using basic thermodynamic principles and semi-empirical kinetic models

International journal of pharmaceutics, 2019-08, Vol.567, p.118465-118465, Article 118465

2019

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Disproportionation of a crystalline citrate salt of a developmental pharmaceutical compound: Characterization of the kinetics using pH monitoring and online Raman spectroscopy plus quantitation of the crystalline free base form in binary physical mixtures using FT-Raman, XRPD and DSC

Journal of pharmaceutical and biomedical analysis, 2014-03, Vol.90, p.186-191

2014

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Predicted amorphous solubility and dissolution rate advantages following moisture sorption: Case studies of indomethacin and felodipine

International journal of pharmaceutics, 2019-01, Vol.555, p.100-108

2019

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The amorphous state: first-principles derivation of the Gordon-Taylor equation for direct prediction of the glass transition temperature of mixtures; estimation of the crossover temperature of fragile glass formers; physical basis of the "Rule of 2/3"

Physical chemistry chemical physics : PCCP, 2017-08, Vol.19 (31), p.20523-20532

2017

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Modeling Recrystallization Kinetics Following the Dissolution of Amorphous Drugs

Molecular pharmaceutics, 2020-01, Vol.17 (1), p.219-228

2020

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Dispersive kinetic models predict variation of the activation energy with extent of conversion observed experimentally in isoconversional data

Thermochimica acta, 2014-02, Vol.578, p.68-73

Skrdla, Peter J.

2014

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Activation Energy Distributions Predicted by Dispersive Kinetic Models for Nucleation and Denucleation: Anomalous Diffusion Resulting from Quantization

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2011-06, Vol.115 (24), p.6413-6425

Skrdla, Peter J

2011

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Atomistic Description of Two-Dimensional Hexagonal Close-Packed Critical Nuclei Exhibiting Quantization of the Activation Energy Barrier

Crystal growth & design, 2013-05, Vol.13 (5), p.1970-1977

Skrdla, Peter J

2013

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Correction to “Use of Dispersive Kinetic Models for Nucleation and Denucleation to Predict Steady-State Nanoparticle Size Distributions and the Role of Ostwald Ripening”

Journal of physical chemistry. C, 2013-06, Vol.117 (25), p.13337-13338

Skrdla, Peter J

2013

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Predicting the Solubility Advantage of Amorphous Drugs: Effect of pH

Journal of pharmaceutical sciences, 2020-04, Vol.109 (4), p.1627-1629

2020

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Semi-empirical description of the constant β in the equation of state for interfacial tension

Journal of colloid and interface science, 2011-08, Vol.360 (1), p.313-316

Skrdla, Peter J.

2011

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Dynamical Considerations for Kinetic Methods in Thermal Analysis

The Journal of physics and chemistry of solids, 2013-10, Vol.74 (10), p.1375-1379

Skrdla, Peter J.

2013

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Kinetics and Thermodynamics of Efficient Chiral Symmetry Breaking in Nearly Racemic Mixtures of Conglomerate Crystals

Practical Estimation of Amorphous Solubility Enhancement Using Thermoanalytical Data: Determination of the Amorphous/Crystalline Solubility Ratio for Pure Indomethacin and Felodipine

Estimating the maximal solubility advantage of drug salts

Can we trust kinetic methods of thermal analysis?

Modeling Sigmoidal Transients Using Dispersive Kinetic Models to Predict Nanoparticle Size Distributions

Modelling sub-micron particle slip flow in liquid chromatography

Comment on “Fitting and Interpreting Transition-Metal Nanocluster Formation and Other Sigmoidal-Appearing Kinetic Data: A More Thorough Testing of Dispersive Kinetic vs Chemical-Mechanism-Based Equations and Treatments for 4-Step Type Kinetic Data”

Drug Aggregation of Sparingly-Soluble Ionizable Drugs: Molecular Dynamics Simulations of Papaverine and Prostaglandin F2α

Use of Dispersive Kinetic Models for Nucleation and Denucleation to Predict Steady-State Nanoparticle Size Distributions and the Role of Ostwald Ripening

Roles of Nucleation, Denucleation, Coarsening, and Aggregation Kinetics in Nanoparticle Preparations and Neurological Disease

Complexation Mechanisms of Aqueous Amylose: Molecular Dynamics Study Using 3‑Pentadecylphenol

On the Stability of Nano-formulations Prepared by Direct Synthesis: Simulated Ostwald Ripening of a Typical Nanocrystal Distribution Post-nucleation

Crystallizations, Solid-State Phase Transformations and Dissolution Behavior Explained by Dispersive Kinetic Models Based on a Maxwell−Boltzmann Distribution of Activation Energies: Theory, Applications, and Practical Limitations

Predicting the solubility enhancement of amorphous drugs and related phenomena using basic thermodynamic principles and semi-empirical kinetic models

Disproportionation of a crystalline citrate salt of a developmental pharmaceutical compound: Characterization of the kinetics using pH monitoring and online Raman spectroscopy plus quantitation of the crystalline free base form in binary physical mixtures using FT-Raman, XRPD and DSC

Predicted amorphous solubility and dissolution rate advantages following moisture sorption: Case studies of indomethacin and felodipine

The amorphous state: first-principles derivation of the Gordon-Taylor equation for direct prediction of the glass transition temperature of mixtures; estimation of the crossover temperature of fragile glass formers; physical basis of the "Rule of 2/3"

Modeling Recrystallization Kinetics Following the Dissolution of Amorphous Drugs

Dispersive kinetic models predict variation of the activation energy with extent of conversion observed experimentally in isoconversional data

Activation Energy Distributions Predicted by Dispersive Kinetic Models for Nucleation and Denucleation: Anomalous Diffusion Resulting from Quantization

Atomistic Description of Two-Dimensional Hexagonal Close-Packed Critical Nuclei Exhibiting Quantization of the Activation Energy Barrier

Correction to “Use of Dispersive Kinetic Models for Nucleation and Denucleation to Predict Steady-State Nanoparticle Size Distributions and the Role of Ostwald Ripening”

Predicting the Solubility Advantage of Amorphous Drugs: Effect of pH

Semi-empirical description of the constant β in the equation of state for interfacial tension

Dynamical Considerations for Kinetic Methods in Thermal Analysis

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