Institute of Fundamental Technological Research
Polish Academy of Sciences

Scientific Activities

Selected Achievements in Numbers

(in the last 3 years)

1193 667 37 13 7
PUBLICATIONS IN TOTAL PUBLICATIONS IN TOP JOURNALS PATENTS,
PROTECTION RIGHTS
PHD THESES
AT IPPT PAN
HABILITATIONS
AT IPPT PAN
1193 667
PUBLICATIONS IN TOTAL PUBLICATIONS IN TOP JOURNALS
37
PATENTS,
PROTECTION RIGHTS
13 7
PHD THESES
AT IPPT PAN
HABILITATIONS
AT IPPT PAN

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Highly qualified personnel, extensive experience in research and intensive international cooperation are IPPT PAN’s key to success. Our outstanding scientists can pride themselves on numerous publications in renown scientific journals, a significant number of granted patents and many awards and distinctions.

The Institute makes every effort to provide its employees with the best scientific development, both on the national, and international level. We also know the importance of science in industry, that is why we prioritize to implement science directly and assess its results in a longer perspective. We believe that best results can only be obtained through constant scientific discourse and verification. That is why our scientists share opinions and argument with researchers from all over the world, keeping an open mind to new ideas. Such methods lead to maintaining the highest levels of our research, and combining it with the education of doctoral students that we also provide, determines the high position of our Institute.

achievements 1

achievements 2

Selected Scientific Achievements

(in the reporting year of 2022)

 Selected achievements in projects/research studies conducted in the reporting year of 2022

 I 

In the fields of: mechanics of multifunctional materials, micromechanics of materials, surface layers mechanics:

  • We designed new numerical models for metal crystals, accounting for gradient effects and the selection of active slip-systems
  • We developed an original specification of twinning kinematics including the effective implementation of the model in the finite element method code
  • We developed a series of nonlocal elasticity models for the micro- and nonosamples analysis under bending, vibration, and buckling
  • We demonstrated the increase of hardness, wear resistance and the hardness-to-Young’s modulus ratio in thin layers implanted on 2 high-entropy alloy

II

In the fields of the microstructures of materials:

  • We provided a detailed microstructural characterization of sintered materials by FAST/SPS, using micro-computed tomography and EBSD. We made a detailed analysis of the size and shape of grains and pores. The researched microstructure was used for the numerical determination of effective thermal conductivity. The numerical results were validated using experimental results. The final result led to propose an analytical model combining thermal conductivity with the microstructural properties of sintered materials.
  • We designed numerical models for brittle infiltrated composites consisting of a silicon carbide skeleton (SiC), and an aluminum and 12% silicon alloy (AlSi12). The constitutive model for the skeleton was the model of brittle fracture, and for the filler – the elasto-plastic model. We tested the composite under impact conditions with the use of non-local peridynamics method, which proved the existence of material contact in the interfaces and fragmentation. We designed a method for generating peridynamic models of high density calculation points based on CT scanning.
  • We developed a methodology for designing new 2D materials and material systems based on molecular dynamics, AI methods, and multiscale approach.

 

Most important scientific achievements of the Institute in the reporting year of 2022 of general socio- and economic importance

I

  • We discovered the influence of boron materials on the kinetics of cement biding and early hardening, and on the phase composition, porosity, early mechanical properties. We identified the sensitivity of boron admixture composites to gamma irradiation and the effects of radiation modification of biding processes and early hardening. We determined gamma radiation effects in modifying pore size distribution, Portland cement content, and alite relics in composite matrices. We determined the temperature-equivalent of gamma irradiation up to 50kGy.
  • We assessed the results of radiation damage of cement composites and the degradation of protective properties of steel reinforcement, which is of great importance to designing shielding materials for nuclear energy sector and radioactive waste disposal. The results provide guidance on formulating materials specification and materials selection, taking into account the criterion of radiation damage resistance which is of great interest in relation to the designed long-term durability and reliability of nuclear facilities.

II

  • We designed, and numerically and experimentally verified, a practical identification method for vehicle parameters and road roughness profile based on a moving vehicle response. The method’s advantage lies in its simplicity of instrumentation (accelerometers installed in the vehicle).
  • We obtained a series of results concerning the possibility of printing broadband sound-absorbing materials with the use of low-budget 3D printers. The research focused on the possibility of effective use of relatively simple microstructures and imperfections of such printers.
  • We published a monograph: “Large-Scale Simultaneous Localization and Mapping” (Springer Publishing, 308 pages, doi: 10.1007/978-981-19-1972-5). The monograph provides a practical guide and algorithms for mobile mapping systems.

Selected, most important applications of research results of public importance (e.g. in public health care) and economic importance (e.g. new technologies, implementations, licenses) from the reporting period of 2022

I

  • We designed new types of neural network blocks which make ultrasound imaging resemble non-medical images, thus enhancing the effectiveness of transfer learning methods in the context of medical data analysis. Additionally, we created a large set of data out of numerical phantoms, which allows for neural networks training for ultrasonographic diagnostics. The obtained results help to better understand the usefulness of machine learning methods in ultrasonographic data analyses, which, in turn, should ultimately contribute to more accurate diagnostics.

II

  • We formalized patent application no. BUP 35/2022, 2022-08-29, and filed the patent application WO/2022/177454, 2022-08-25, for “A method for obtaining injectable biocompatible drug delivery vehicles, cell carriers or combinations thereof, in the form of microscaffolds, an injectable composition containing said vehicles, and its applications”.
  • We are finalizing another patent application: ”Nośnik współdostarczania leków reagujący na dwie temperatury w formie włókniny oraz sposób jego wytwarzania” [Drug co-delivery carrier sensible to two temperatures in the form of fiber and its manufacturing] and “Proteza do odprowadzenia moczu u pacjentów pozbawionych pęcherza moczowego oraz sposób jej wytwarzania” [A prothesis for urinary diversion for cystectomy patients and a method for its manufacturing].

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